Update app.py

app.py

@@ -113,7 +113,7 @@ def update(sequence, word1, word2, word3, sequence_length):
         st.write("Please try again later or contact support if the issue persists.")
 
 def share_on_twitter(word1, word2, word3, length, plddt):
-    tweet_text = f"I generated a unique protein structure from the words '{word1}', '{word2}', and '{word3}' with length {length}! plDDT Score: {plddt}% Try it yourself at [Your App URL] #GenPro2 #ProteinFolding"
+    tweet_text = f"I generated a new protein using GenPro2 by @WandsAI from the words '{word1}', '{word2}', and '{word3}' + sequence length {length}! It's Predictive Protein Score is: {plddt}%"
     tweet_url = f"https://twitter.com/intent/tweet?text={urllib.parse.quote(tweet_text)}"
     return tweet_url
 
@@ -155,7 +155,39 @@ if st.session_state.structure_info:
     st.write('plDDT is a per-residue estimate of the confidence in prediction on a scale from 0-100%.')
     plddt_score = int(info["b_value"] * 100)
     st.info(f'Average plDDT: {plddt_score}%')
+ 
+    st.subheader("Share your unique protein on X(Twitter)")
     
+    st.markdown("""
+    <div style='background-color: #e6f2ff; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
+    <ol>
+        <li>Take a screenshot of the protein structure above.</li>
+        <li>Click the 'Share on X' button below to open a pre-filled tweet.</li>
+        <li>Attach your screenshot to the tweet before posting.</li>
+    </ol>
+    </div>
+    """, unsafe_allow_html=True)
+    
+    st.write("1. Take a screenshot of the protein structure above.")
+    st.write("2. Click the 'Share Results' button below to open a pre-filled tweet.")
+    st.write("3. Attach your protein screenshot to the post.")
+    
+    tweet_url = share_on_twitter(info["word1"], info["word2"], info["word3"], info["sequence_length"], plddt_score)
+    st.markdown(f"[Share Results]({tweet_url})")
+
+    st.markdown("""
+    ## What to do next:
+    If you find interesting results from the sequence folding, you can explore further:
+    1. Learn more about protein structures and sequences.
+    2. Visit the [Protein Data Bank (PDB)](https://www.rcsb.org/) for known protein structures.
+    3. Compare your folded structure with known functional proteins by downloading your results.
+    4. Read about similar proteins to gain insights into potential functions.
+    5. Click the "Analyze Protein" button to get more information about your generated protein.
+    **Remember, this folding is based on randomly generated sequences. Interpret the results with caution.
+    Enjoy exploring the world of protein sequences! Share your high-confidence protein images with us on X [*@WandsAI*](https://x.com/wandsai)!
+    """)
+
+    # Moved Analyze and Download buttons to the bottom
     col1, col2 = st.columns(2)
     with col1:
         if st.button('Analyze Protein'):
@@ -168,15 +200,6 @@ if st.session_state.structure_info:
             file_name='predicted.pdb',
             mime='text/plain',
         )
-
-    st.subheader("Share your unique protein on X")
-    st.write("1. Take a screenshot of the protein structure above.")
-    st.write("2. Click the 'Share Results' button below to open a pre-filled tweet.")
-    st.write("3. Attach your screenshot to the tweet before posting.")
-    
-    tweet_url = share_on_twitter(info["word1"], info["word2"], info["word3"], info["sequence_length"], plddt_score)
-    st.markdown(f"[Share Results]({tweet_url})")
-
     st.markdown("""
     ## What to do next:
     If you find interesting results from the sequence folding, you can explore further: